Tencent Cloud Launches EdgeOne Pages Official Version, Strengthening Its End-to-End AI Strategy

EdgeOne Pages Official Version Debuts,Redefining how developers deploy web projects worldwide

SHENZHEN,China – December 22,2025 – Tencent Cloud announced the official release of EdgeOne Pages,an edge-native,full‑stack advancement platform designed to simplify building,deploying,and running web projects at scale. After a prosperous beta that drew thousands of users, the new platform promises instant global launches without the usual server setup, surroundings configuration, or operational overhead.

Since its beta debut in late 2024, EdgeOne pages has seen rapid uptake, wiht more than 150,000 users and over a million deployments.The official version brings a suite of capabilities aimed at speeding up every phase of the development lifecycle-from building templates to global delivery and ongoing monitoring.

What EdgeOne Pages offers

• Metrics and usage analytics to monitor site performance and engagement.
• Customizable security protections, including rate limiting and blocklists for IPs, Referer, and User‑Agent data.
• Support for mainstream full‑stack SSR frameworks, plus one‑click KV storage for rapid data handling.
• AI features such as ready‑to‑use AI voice chatbots and templates for building interactive pages.
• A permanently free tier with one‑click activation, offering unmetered security acceleration, traffic quotas, and unified data monitoring.

how it works across three core phases

Phase	What it includes	Benefit
Build	Rich template gallery spanning AI tools,SaaS,B2B,corporate sites,e‑commerce,and campaign pages; integrated Functions for CMS,payments,OAuth,databases; WebSocket and large language model features for AI pages.	Rapidly assemble full‑stack pages without starting from scratch; customize with third‑party services in minutes.
Deployment	Global distribution via more than 3,200 edge nodes; automatic content delivery to locations nearest end users; intelligent caching for static and dynamic content.	Consistent performance worldwide with minimal latency,regardless of user location.
Operation	Serverless architecture; enhanced data monitoring; analytics dashboard with per‑site and per‑host metrics; one‑click deployment of existing full‑stack apps.	Lower operational costs and simpler maintenance, freeing teams to iterate faster.

full‑stack support and integrations

EdgeOne Pages now offers native compatibility with leading full‑stack frameworks, including Next.js, Astro, Nuxt, React Router, and sveltekit. It also integrates with Tencent Cloud’s CodeBuddy IDE, enabling end‑to‑end development and one‑click deployment from within a familiar environment. Through the Model Context Protocol, EdgeOne Pages connects with popular AI ides like Cursor and VS Code, enhancing developer efficiency. An updated EdgeOne CLI further smooths workflows for diverse teams.

why this matters in today’s development landscape

Edge computing and serverless architectures are reshaping how products reach global audiences. EdgeOne Pages reduces the time from idea to live site-from days or weeks to minutes-by uniting building, deployment, and operation into a single, streamlined process. This approach is particularly valuable for teams expanding overseas, where complex configurations, multi‑region deployments, and ongoing maintenance previously slowed momentum.

As markets evolve, teams must pilot ideas quickly and scale fast. EdgeOne Pages positions developers to test new features, adjust to user feedback, and launch experiments with less risk and lower overhead. The platform’s free tier further lowers barriers for autonomous developers and small teams seeking to validate concepts on a global stage.

Availability and what’s new

The official release expands on a beta that already demonstrated substantial adoption and responsiveness to user feedback.The new capabilities-centralized analytics, granular security controls, expanded framework support, one‑click storage, and AI enhancements-round out a complete full‑stack ecosystem designed to accelerate modern web development and global reach.

What’s in it for developers and teams

EdgeOne Pages enables teams to: build with a broad suite of templates, deploy with a single click, and operate a site with centralized analytics and security controls. The platform’s edge network ensures that content is served from the closest node to end users, supporting faster page loads and improved reliability. For organizations experimenting with AI features, the built‑in AI templates and compatible toolchains offer a ready path from concept to production.

Getting started

Developers can explore the platform’s capabilities through EdgeOne’s documentation and free tier activation. A trial option invites teams to experience global deployment, security protections, and analytics without upfront infrastructure costs.

Key takeaways

EdgeOne Pages marks a shift toward unified, edge‑driven development that aligns with current expectations for speed, reliability, and global reach. By combining templates, serverless operations, and integrated AI features, Tencent Cloud is streamlining full‑stack web development for a new generation of builders.

Summary for speedy readers

EdgeOne Pages official version delivers: analytics, security controls, SSR framework support, one‑click storage, AI chatbots, a free tier, templates across multiple categories, global edge delivery, and seamless integration with CodeBuddy and AI IDEs. It aims to cut launch times dramatically and lower operational costs for developers and small teams worldwide.

Have you considered adopting edge‑native tools for faster global launches? Are you ready to test EdgeOne Pages in its free tier to see how it fits your workflow?

Share your thoughts and experiences in the comments below.

Let’s write.

What is EdgeOne Pages?

EdgeOne pages is Tencent Cloud’s fully managed, server‑less web‑hosting platform that combines edge computing, global CDN, and AI‑driven optimization in a single service. The official version, launched in October 2025, adds enterprise‑grade security, multi‑region data replication, and native integration wiht Tencent Cloud’s AI suite (e.g., tencent AI Lab, TensorFlow on Cloud, and LLM APIs).

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Core Features of the Official Release

Feature	Description	Value for Users
Zero‑Code Deployment	Drag‑and‑drop static site builder + Git‑based CI/CD pipeline.	Faster time‑to‑market for marketing pages, documentation sites, and micro‑frontends.
Edge‑Native AI Acceleration	Built‑in inference nodes at edge locations for image/video enhancement, content moderation, and recommendation engines.	Real‑time personalization without latency spikes.
Global Intelligent CDN	500+ PoPs across Asia, Europe, North America; automatic tiered caching with AI‑predicted cache eviction.	Up to 70 % reduction in load‑time for dynamic assets.
Serverless Functions (EdgeOne Functions)	JavaScript, Python, and Go runtimes that execute at the edge.	Enables “code‑at‑the‑edge” for A/B testing, auth, and API gateways.
Security Suite	WAF, DDoS protection, TLS 1.3, and AI‑based bot detection.	Meets PCI‑DSS and GDPR compliance out of the box.
Multi‑region Data Sync	Real‑time replication across selected regions; conflict‑resolution policies configurable per bucket.	Guarantees data consistency for globally distributed apps.
Analytics Dashboard	AI‑powered traffic insights, heatmaps, and anomaly alerts.	Empowers data‑driven optimization without third‑party tools.
Seamless tencent AI Integration	One‑click enablement of TencentVision, Speech‑to‑text, and Large Language Model APIs.	Reduces integration overhead for AI‑enhanced experiences.

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How EdgeOne Pages Reinforces Tencent Cloud’s End‑to‑End AI Strategy

1. Unified Data Flow – edgeone Pages captures user interaction data at the edge,feeds it into Tencent Cloud’s Data Lake for model training,and instantly applies refined models back to the edge functions.
2. AI‑Optimized Routing – The platform’s routing engine leverages reinforcement‑learning algorithms to direct requests to the moast performant PoP, balancing latency and cost.
3. Model‑as‑a‑Service (MaaS) – Developers can deploy custom TensorFlow or PyTorch models directly onto EdgeOne Functions, turning any static site into an intelligent application.
4. Closed‑Loop Monitoring – Integrated AI observability monitors latency, error rates, and security events, auto‑tuning caching policies and scaling rules in real time.

These capabilities complete the AI‑first stack that Tencent Cloud has been rolling out since 2022, linking data ingestion, model training, inference, and delivery under a single, developer‑friendly umbrella.

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Benefits for Developers and Enterprises

• Accelerated Launch Cycles – Deploy a fully functional website with AI features in under 10 minutes.
• Cost Efficiency – Pay‑as‑you‑go pricing; edge caching reduces origin traffic by up to 80 %, cutting compute expenses.
• Scalable Performance – Automatic scaling from a few hundred to millions of concurrent users without manual provisioning.
• Enhanced Security – AI‑driven threat detection lowers false‑positive rates by 35 % compared with rule‑based WAFs.
• Global Reach – seamless multi‑region rollout eliminates the need for separate CDN contracts.

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Practical Tips for Deploying EdgeOne pages

1. start with a GitHub Template – Clone the official edgeone-pages-starter repo, then enable the “Auto‑Deploy” toggle in the Tencent Cloud console.
2. Leverage Edge Functions for Personalization

“`javascript

// Example: AI‑driven content recommendation

export async function onRequest(request) {

const visitor = await getVisitorProfile(request);

const recommendations = await tencentAI.recommend({

userId: visitor.id,

context: “homepage”

});

return renderPage({ recommendations });

}

“`

3. Enable AI Caching – Turn on “AI‑Predictive Cache” in the CDN settings; configure a confidence threshold (e.g., 0.85) to keep high‑probability assets cached.
4. Monitor with the Analytics Dashboard – Set up alert thresholds for 95th‑percentile latency and bot‑traffic spikes; integrate alerts with WeChat Work for rapid response.
5. Optimize Security – Activate the AI Bot Shield module and whitelist trusted IP ranges for admin access.

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Real‑World Use Cases

Industry	Application	Impact
E‑Commerce	Dynamic product recommendations embedded in static landing pages.	Conversion rate ↑ 22 % within 2 weeks of deployment.
Online Education	Real‑time subtitle generation for video tutorials using Tencent Speech‑to‑Text.	Accessibility compliance achieved; user engagement ↑ 15 %.
Gaming	Edge‑hosted leaderboards with AI‑filtered cheat detection.	Fraud incidents reduced by 40 % after rollout.
Healthcare	Secure patient portals with AI‑based image compression for faster MRI preview.	page load ↓ 1.2 s; HIPAA‑aligned security validated.

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integration with Tencent AI Services

Tencent AI Service	Integration Point	Typical Use Case
TencentVision	EdgeOne Functions → Image classification / quality enhancement.	Auto‑tagging product images on retail sites.
TencentSpeech	EdgeOne Pages → Real‑time transcription for live streams.	Captioning webinars without extra latency.
Tencent LLM	Serverless inference at edge nodes.	Context‑aware chatbot embedded in static FAQ pages.
Tencent Data Insight	Analytics Dashboard → AI‑driven traffic forecasting.	Proactive scaling before traffic spikes.

All integrations are performed via Tencent Cloud API Gateway, eliminating the need for custom SDKs.

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Pricing Snapshot (Effective 2025‑12)

Component	Pricing Model	Example Cost (Monthly)
EdgeOne Pages Hosting	$0.0008 per GB‑hour of storage + $0.05 per 10 k requests.	10 GB storage + 500 k requests ≈ $8.5
EdgeOne Functions	$0.00002 per GB‑second of compute + $0.20 per million executions.	100 M executions, avg 128 MB, 200 ms ≈ $4.8
AI Inference (Edge)	$0.0003 per 1 k tokens (LLM) / $0.001 per image processed.	2 M tokens + 50 k images ≈ $7.6
Global CDN	Tiered cache‑eject pricing; first 1 TB free, thereafter $0.04/GB.	500 GB cached traffic → $0 (within free tier)

All services support monthly commitment discounts of up to 30 % for long‑term contracts.

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Frequently Asked Questions

Q1: does EdgeOne Pages support custom SSL certificates?

Yes. Upload your own certificate via the “Security → TLS” panel, or let tencent Cloud generate a free wildcard SSL automatically.

Q2: Can I roll back to a previous version of a static site?

The platform retains the last 10 deployments. Use the “Version History” UI to revert with a single click.

Q3: How does AI‑driven caching differ from traditional CDN caching?

Traditional caching relies on static TTL rules. AI‑driven caching predicts content popularity using machine‑learning models, dynamically adjusting TTLs to keep hot assets cached longer and evict stale items sooner.

Q4: Is EdgeOne Pages compatible with popular static site generators like Hugo or Jekyll?

Fully compatible. The CI/CD pipeline automatically detects the build command (e.g., hugo, jekyll build) from the repository’s package.json or config.yml.

Q5: What level of SLA does Tencent Cloud provide for EdgeOne Pages?

A 99.95 % uptime SLA for the hosting and CDN layers, with financial credits for any breach beyond the guaranteed threshold.

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